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April 1, 2026ACS Measurement Science AuOpen Access

High-throughput Optical Analysis to Inform Design of Electrochemical Biosensors

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Authors

NRNathan J. RicksBrigham Young UniversityMPMichael A. PenceMissouri University of Science and TechnologyMBMonica BrachiMissouri University of Science and Technology

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Implication

Perspective highlights high-throughput discovery for improved biosensor performance, suggesting transformative design opportunities.

Key Points

  • The study aims to improve the development of electrochemical biosensors by utilizing high-throughput discovery methods.
  • Utilization of optical, affinity, and cell-sorting platforms.
  • Implementation of surrogate assays like SELEX and fluorescence-activated cell sorting.
  • Exploration of sequence–function relationships for biomolecules.
  • Employing machine-learning for optimization and directed evolution.
  • Achieved significant expansion in design possibilities for recognition elements and enzymes.
  • Enabled data-rich environments for exploring biosensor functionalities.
  • Provided a framework for translating findings into functional electrochemical biosensors.

Cite This Study

Ricks et al. (2026) studied this question.

synapsesocial.com/papers/69ccb66716edfba7beb87fe4https://doi.org/10.1021/acsmeasuresciau.6c00018
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